RAD Security MCP Server

Created By
MCP-Mirrora year ago
Mirror of
Overview

what is RAD Security MCP Server?

RAD Security MCP Server is a Model Context Protocol (MCP) server designed to provide AI-powered security insights for Kubernetes and cloud environments.

how to use RAD Security MCP Server?

To use the RAD Security MCP Server, install it via npm, set the required environment variables, and run it either in a local environment or as a Docker container.

key features of RAD Security MCP Server?

  • Account Inventory: List clusters and their details.
  • Containers Inventory: List containers and their details.
  • Security Findings: Analyze security findings.
  • Runtime Security: Monitor running containers and analyze their behavior.
  • Network Security: Track network connections and analyze patterns.
  • Identity and Access: Manage identities and access details.
  • Audit: Monitor access to pods.
  • Cloud Security: Monitor cloud resources and compliance.
  • Images: Analyze vulnerabilities in images.
  • Kubernetes Objects: Manage and monitor Kubernetes resources.
  • CVEs: Access and analyze Common Vulnerabilities and Exposures.

use cases of RAD Security MCP Server?

  1. Monitoring security in Kubernetes environments.
  2. Analyzing vulnerabilities in cloud resources.
  3. Managing identities and access in cloud applications.
  4. Auditing access to sensitive resources.

FAQ from RAD Security MCP Server?

  • What are the prerequisites for using the MCP server?

You need Node.js 20.x or higher and the required environment variables set up.

  • Can I use the MCP server without authentication?

Yes, some operations like listing CVEs can be performed without authentication.

  • Is there a Docker version available?

Yes, you can run the MCP server as a Docker container.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
MCP-Mirror
Star
0
Language
TypeScript
License
MIT license
Category
security

Recommend Servers

View All
//beforeyouship — LLM Cost Modeling From Your Editor
@Indiegoing

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

13 hours ago
Shippo
@Shippo

21 hours ago